Earthquake trapped person estimation method and device based on communication signal, medium and product

Abstract

The invention discloses an earthquake trapped person estimation method and device based on a communication signal, a medium and a product, and relates to the field of communication, and the method comprises the steps: obtaining an earthquake rapid report; according to the earthquake rapid report, an intensity analysis module is adopted to determine an intensity grade and an intensity range; the intensity analysis module is used for outputting an intensity influence field according to the earthquake rapid report and determining an intensity grade and an intensity range according to the intensity influence field; and estimating the trapped persons in the earthquake according to the communication signals of which the intensity levels are greater than the preset intensity level. According to the invention, the scale and distribution estimation precision of casualties caused by earthquakes can be improved.

Description

Technical Field

[0001] The present application relates to the field of communications, and in particular to a method, device, medium and product for estimating earthquake trapped persons based on communication signals. Background Art

[0002] The current earthquake information is obtained by the National Seismological Network Center through the collection, analysis and processing of digital seismic observation data, simulating the broadband digital seismic data into traditional analog records, and then using the simulated records to measure the local earthquake magnitude ML, surface wave magnitude Ms, and body wave magnitude mb to form an earthquake impact field.

[0003] At present, the important parameter in estimating the distribution of casualties caused by earthquakes is population density ρ; and population density is fixed data combined with the census, not dynamic real-time data, so there is a problem of low accuracy in estimating the distribution of casualties. Summary of the invention

[0004] The purpose of this application is to provide a method, device, medium and product for estimating the number of people trapped in an earthquake based on communication signals, which can improve the accuracy of estimating the distribution of casualties.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for estimating trapped persons in an earthquake based on communication signals, the method for estimating trapped persons in an earthquake based on communication signals comprising:

[0007] Get earthquake updates;

[0008] According to the earthquake rapid report, an intensity analysis module is used to determine the intensity level and intensity range; the intensity analysis module is used to output the intensity influence field according to the earthquake rapid report, and determine the intensity level and intensity range according to the intensity influence field;

[0009] The number of people trapped by the earthquake is estimated based on communication signals within a range where the intensity level is greater than a preset intensity level.

[0010] Optionally, the earthquake rapid report specifically includes: epicenter, magnitude and focal depth.

[0011] Optionally, the severity level includes 12 levels.

[0012] Optionally, estimating the number of trapped persons according to the communication signal within a range of intensity levels greater than a preset intensity level specifically includes:

[0013] The intensity range with intensity level greater than the pre-set intensity level is regarded as the demarcated range;

[0014] Determine the distribution of mobile base stations within the target range and estimate the number of deaths based on intensity; the distribution of mobile base stations includes: base station data offline and base station personnel offline;

[0015] According to the distribution of mobile base stations and the death toll based on intensity, the number of people trapped by the earthquake was estimated by using big data rapid screening technology and superimposed data time window slicing technology.

[0016] Alternatively, using the formula Produce intensity-based fatality estimates;

[0017] Among them, N D is the number of deaths, I max is the intensity level, A j is the distribution area of ​​the jth intensity level, in square kilometers, ρ is the population density, which is determined based on the total number of base station personnel and the target range, in units of people per square kilometer, R j is the mortality rate corresponding to the jth intensity level.

[0018] In a second aspect, the present application provides a device for estimating the number of trapped persons in an earthquake based on communication signals, the device for estimating the number of trapped persons in an earthquake based on communication signals comprising:

[0019] An earthquake early warning acquisition module is used to obtain earthquake early warnings;

[0020] The intensity level determination module is used to determine the intensity level and intensity range according to the earthquake rapid report using the intensity analysis module; the intensity analysis module is used to output the intensity influence field according to the earthquake rapid report, and determine the intensity level and intensity range according to the intensity influence field;

[0021] The estimation module is used to estimate the number of trapped persons in an earthquake based on communication signals within a range where the intensity level is greater than a preset intensity level.

[0022] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for estimating earthquake trapped persons based on communication signals.

[0023] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for estimating earthquake trapped persons based on communication signals.

[0024] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method for estimating earthquake trapped persons based on communication signals.

[0025] According to the specific embodiments provided in this application, this application has the following technical effects:

[0026] The present application provides a method, device, medium and product for estimating earthquake victims based on communication signals, which determines the intensity level according to the intensity influence; estimates the number of earthquake victims based on communication signals within a range where the intensity level is greater than a pre-set intensity level, and can detect in real time the mobile signals of people within the intensity range where the intensity level is greater than the set level, thereby improving the accuracy of casualty distribution estimation through mobile signals, intensity level and intensity range. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 A schematic diagram of an application environment of a method for estimating earthquake trapped persons based on communication signals in one embodiment of the present application;

[0029] Figure 2 This is a flow chart of a method for estimating trapped persons in an earthquake based on communication signals in one embodiment of the present application; DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0032] The earthquake trapped persons estimation method based on communication signals provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the video to be processed to the server 104, and the server 104 receives the earthquake bulletin. For the earthquake bulletin, the server 104 uses the intensity analysis module based on the earthquake bulletin to determine the intensity level and intensity range; the intensity analysis module is used to output the intensity influence field according to the earthquake bulletin, and determine the intensity level and intensity range according to the intensity influence field; the earthquake victims are estimated according to the communication signal within the range where the intensity level is greater than the pre-set intensity level. The server 104 can feed back the estimated results of the earthquake victims to the terminal 102. In addition, in some embodiments, the earthquake trapped persons estimation method based on communication signals can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly process the earthquake early warning, or the server 104 can obtain the earthquake early warning from the data storage system and process the earthquake early warning.

[0033] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0034] In an exemplary embodiment, Figure 2 As shown, a method for estimating trapped persons in an earthquake based on communication signals is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate, including the following S201 to S203. Among them:

[0035] S201, obtaining earthquake rapid report; the earthquake rapid report specifically includes: epicenter, magnitude and focal depth.

[0036] S202, according to the earthquake rapid report, using the intensity analysis module to determine the intensity level and intensity range; the intensity analysis module is used to output the intensity influence field according to the earthquake rapid report, and determine the intensity level and intensity range according to the intensity influence field;

[0037] The intensity analysis module combines the influence of various local natural and man-made conditions, including whether the geological structure is stable, whether the soil structure is solid, and whether the house and other structures are strong and earthquake-resistant, to analyze 12 intensity levels. According to the intensity impact, different intensity circles above 6 degrees are circled in the system (focus on the influence range above 8 degrees).

[0038] S203, estimating the number of trapped persons in the earthquake based on communication signals within a range where the intensity level is greater than a preset intensity level.

[0039] S203 specifically includes:

[0040] S31, taking the intensity range whose intensity level is greater than the preset intensity level as the demarcated range;

[0041] S32, determining the distribution of mobile base stations within the target range and the estimated number of deaths based on the intensity; the distribution of mobile base stations includes: base station data offline and base station personnel offline;

[0042] S33, based on the distribution of mobile base stations and the death toll based on intensity, the number of people trapped in the earthquake was estimated by using big data rapid screening technology and superimposed data time window slicing technology.

[0043] By using big data rapid screening technology and superimposed data time window slicing technology, we can first screen out the total number of base station personnel 5 minutes before the earthquake. Secondly, we can compare the offline conditions of mobile phone signals of base station personnel 5 minutes, 10 minutes, and 15 minutes after the earthquake, and the long-term immobility conditions, to determine the burial conditions of personnel.

[0044] Using the formula Produce intensity-based fatality estimates;

[0045] Among them, N D is the number of deaths, I max is the intensity level, A j is the distribution area of ​​the jth intensity level, in square kilometers, ρ is the population density, which is determined based on the total number of base station personnel and the target range, in units of people per square kilometer, R j is the mortality rate corresponding to the jth intensity level.

[0046] in, or lnR j =-44.466+14.33lnI j +0.960lnρ;

[0047] In the formula, I j is the jth intensity level, for example: I j =j(j=6,7,...,I max ).

[0048] Based on the same inventive concept, the embodiment of the present application also provides a device for estimating earthquake victims based on communication signals for implementing the above-mentioned method for estimating earthquake victims based on communication signals. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more devices for estimating earthquake victims based on communication signals provided below can refer to the limitations of the method for estimating earthquake victims based on communication signals above, and will not be repeated here.

[0049] In an exemplary embodiment, a device for estimating trapped persons in an earthquake based on communication signals is provided, comprising:

[0050] An earthquake early warning acquisition module is used to obtain earthquake early warnings;

[0051] The intensity level determination module is used to determine the intensity level and intensity range according to the earthquake rapid report using the intensity analysis module; the intensity analysis module is used to output the intensity influence field according to the earthquake rapid report, and determine the intensity level and intensity range according to the intensity influence field;

[0052] The estimation module is used to estimate the number of trapped persons in an earthquake based on communication signals within a range where the intensity level is greater than a preset intensity level.

[0053] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for estimating earthquake trapped persons based on communication signals is implemented.

[0054] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0055] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0056] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0057] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0058] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0059] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0060] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0061] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for estimating trapped persons in an earthquake based on communication signals, characterized in that: The method for estimating earthquake trapped persons based on communication signals comprises: Get earthquake updates; According to the earthquake rapid report, an intensity analysis module is used to determine the intensity level and intensity range; the intensity analysis module is used to output the intensity influence field according to the earthquake rapid report, and determine the intensity level and intensity range according to the intensity influence field; The number of people trapped by the earthquake is estimated based on communication signals within a range where the intensity level is greater than a preset intensity level.

2. The method for estimating earthquake trapped persons based on communication signals according to claim 1, characterized in that: The earthquake rapid report specifically includes: epicenter, magnitude and focal depth.

3. The method for estimating earthquake trapped persons based on communication signals according to claim 1, characterized in that: The severity level includes 12 levels.

4. The method for estimating earthquake trapped persons based on communication signals according to claim 1, characterized in that: The estimating of earthquake trapped persons according to the communication signal within the range of intensity level greater than the preset intensity level specifically includes: The intensity range with intensity level greater than the pre-set intensity level is regarded as the demarcated range; Determine the distribution of mobile base stations within the target range and estimate the number of deaths based on intensity; the distribution of mobile base stations includes: base station data offline and base station personnel offline; According to the distribution of mobile base stations and the death toll based on intensity, the number of people trapped by the earthquake was estimated by using big data rapid screening technology and superimposed data time window slicing technology.

5. The method for estimating earthquake trapped persons based on communication signals according to claim 4, characterized in that: Using the formula Produce intensity-based fatality estimates; Among them, N D The number of deaths, I max is the intensity level, A j is the distribution area of ​​the jth intensity level, in square kilometers, ρ is the population density, which is determined based on the total number of base station personnel and the target range, in units of people per square kilometer, R j is the mortality rate corresponding to the jth intensity level.

6. An earthquake trapped person estimation device based on communication signals, characterized in that: The earthquake trapped persons estimation device based on communication signals comprises: An earthquake early warning acquisition module is used to obtain earthquake early warnings; The intensity level determination module is used to determine the intensity level and intensity range according to the earthquake rapid report using the intensity analysis module; the intensity analysis module is used to output the intensity influence field according to the earthquake rapid report, and determine the intensity level and intensity range according to the intensity influence field; The estimation module is used to estimate the number of people trapped by the earthquake based on communication signals within a range where the intensity level is greater than a preset intensity level.

7. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the earthquake trapped persons estimation method based on communication signals as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for estimating earthquake trapped persons based on communication signals described in any one of claims 1 to 5 is implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for estimating earthquake trapped persons based on communication signals described in any one of claims 1 to 5 is implemented.

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